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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Building LLM Applications with Google Gemini

This comprehensive course on Building LLM Applications with Google Gemini is designed to equip you with the skills needed to excel in the rapidly evolving field of artificial intelligence and natural language processing. Delve into the intricacies of Large Language Models (LLM), focusing on the practical applications and development using Google Gemini. You will learn how to harness the power of Google's advanced AI tools to create innovative LLM applications, ensuring you stay at the forefront of technology trends.

The curriculum includes hands-on sessions where you can apply theoretical knowledge to real-world scenarios, enabling you to build robust, efficient, and cutting-edge LLM applications. Whether you are a tech professional aiming to upskill or a student passionate about AI and language models, this course provides the essential knowledge and skills. By the end of the course, you will have a strong foundation in LLM applications, positioning you to take advantage of emerging opportunities in the field of AI and natural language processing.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M834

Course Booking

MYR1,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Overview of Large Language Model (LLM)

  • What is  Large Language Model? 
  • Opportunities LLM applications 
  • Use cases of LLM applications 

Topic 2 Multimodal Prompting with Gemini Pro LLM

  • What is Multimodal Prompting
  • Overview of Google Gemini LLM
  • Testing Google Gemini in Google Bard
  • Getting Gemini API 
  • Building LLM applications with Gemini 

Topic 3 Building LLM Applications with LangChain and Gemini

  • Using Langchain to access Gemini Pro API
  • Image Recognition
  • Chat Conversation

Course Info

Prerequisite:

This is an intermediate course. the following knowledge is assumed

Software Requirement

Pls download and install the following software prior to the class

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

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Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

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Insert MiCAS Application number

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27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • AI Application Developer
  • Machine Learning Engineer
  • Data Scientist
  • AI Product Manager
  • Natural Language Processing Engineer
  • AI Research Scientist
  • Software Developer (AI Specialization)
  • AI Strategy Consultant
  • AI Solutions Architect
  • Computational Linguist
  • Robotics Engineer
  • AI Algorithm Developer
  • Big Data Analyst
  • AI System Designer
  • Innovation Manager (AI Focus)
  • User Experience Designer for AI Systems
  • AI Project Coordinator
  • AI Business Development Manager
  • AI Policy Analyst
  • AI Ethicist

Trainers

Dr. Aanand: Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Amir Othman: Amir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.

Reza Adinehnia: Reza Adinehnia is an experienced Network Security Specialist with a demonstrated history of working in IT industry. He is skilled in Data mining, VMware ESX, Database Security, C, PHP, Computer networks and security. He possesses a strong information technology background with a Doctor of Philosophy (PhD) focused in Computer Security from Universiti Putra Malaysia.

Syed Muhammad Farrukh Akhtar: Syed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js.

He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

Customer Reviews (8)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 12/05/2023)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 21/07/2022)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Split the session to 2-days, instead of cramming everything in 1 day
The trainer is very knowledgeable and patient in explaining all the contentsrF (Posted on 27/06/2021)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
to have the course more than 1 day (Posted on 27/06/2021)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Better to run it in two or three days
I like this training course (Posted on 27/06/2021)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Training in 3 days (Day 1- Pre-processing, Day 2-TS method, Day 3-practicle)
Only use 1 set of data for analysis so that the understanding on the TS method learnt will be more deep and structured. (Posted on 27/06/2021)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 29/03/2019)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 29/03/2019)

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